Analysis of Cell Technology¶

3 competing cell technologies may claim marketshare in future; Bifacial PERC, bifacial SHJ, and Bifacial TOPCon. Each design has different efficiency and a different silver intensity. This analysis seeks compare these technologies on a mass and energy basis. A psuedo global deployment projection hitting 100% RE targets in 2050 is used so that silver demand can be evaluated at the global level.

Make 4+ scenarios

  1. All PERC
  2. All SHJ
  3. All TOPCon
  4. Realistic blend / ITRPV numbers from Martin Springer or Jarett Zuboy – DURAMat tech scounting report
  5. All of the above and turn Bifacial ON/OFF

We will use the silver intensity and module efficiency projections from:

Zhang, Yuchao, Moonyong Kim, Li Wang, Pierre Verlinden, and Brett Hallam. 2021. “Design Considerations for Multi-Terawatt Scale Manufacturing of Existing and Future Photovoltaic Technologies: Challenges and Opportunities Related to Silver, Indium and Bismuth Consumption.” Energy & Environmental Science. https://doi.org/10.1039/D1EE01814K.

and

Gervais, Estelle, Shivenes Shammugam, Lorenz Friedrich, and Thomas Schlegl. 2021. “Raw Material Needs for the Large-Scale Deployment of Photovoltaics – Effects of Innovation-Driven Roadmaps on Material Constraints until 2050.” Renewable and Sustainable Energy Reviews 137 (March): 110589. https://doi.org/10.1016/j.rser.2020.110589.
In [1]:
import numpy as np
import pandas as pd
import os,sys
from pathlib import Path
import matplotlib.pyplot as plt

cwd = os.getcwd() #grabs current working directory

testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'CellTechCompare')
inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP')
baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines')
supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial')

if not os.path.exists(testfolder):
    os.makedirs(testfolder)

Data Preparation¶

Bring in the data from Zhang et al 2021 and Gervais et al 2021.

In [2]:
lit_celltech = pd.read_excel(os.path.join(supportMatfolder,'CellTechCompare','PERCvSHJvTOPCon-LitData.xlsx'), sheet_name='Sheet2',
                             header=[0,1,2], index_col=0)
In [3]:
lit_celltech.columns.get_level_values
Out[3]:
<bound method MultiIndex.get_level_values of MultiIndex([('Zhang et al 2021 (hallam)',   'PERC',  'ModuleEff'),
            ('Zhang et al 2021 (hallam)',   'PERC', 'Ag_mgpcell'),
            ('Zhang et al 2021 (hallam)',    'SHJ',  'ModuleEff'),
            ('Zhang et al 2021 (hallam)',    'SHJ', 'Ag_mgpcell'),
            ('Zhang et al 2021 (hallam)', 'TOPCon',  'ModuleEff'),
            ('Zhang et al 2021 (hallam)', 'TOPCon', 'Ag_mgpcell')],
           names=[None, None, 'year'])>
In [4]:
#Zhang et al Table 2 gives cell size assumptions 166mm cells
cell_size_m2 = np.square(0.166)
In [5]:
#calculate silver use per meter squared for each tech
zhang_perc_Ag_kgpm2 = lit_celltech['Zhang et al 2021 (hallam)']['PERC']['Ag_mgpcell']/1000/cell_size_m2 #creates series
zhang_shj_Ag_kgpm2 = lit_celltech['Zhang et al 2021 (hallam)']['SHJ']['Ag_mgpcell']/1000/cell_size_m2
zhang_topcon_Ag_kgpm2 = lit_celltech['Zhang et al 2021 (hallam)']['TOPCon']['Ag_mgpcell']/1000/cell_size_m2

Gervais et al 2021 also project silver use, but through 2050. We wil use Zhang et al silver intensity through 2030, then a futher decrease from Gervais et al to 2050. There is no projection of TOPCon from Gervais et al, so we will assume a similar magnitude of continued decrease.

In [6]:
lit_celltech.loc[2030]
Out[6]:
                                   year      
Zhang et al 2021 (hallam)  PERC    ModuleEff     24.5
                                   Ag_mgpcell    57.0
                           SHJ     ModuleEff     25.3
                                   Ag_mgpcell    99.0
                           TOPCon  ModuleEff     25.0
                                   Ag_mgpcell    95.0
Name: 2030, dtype: float64
In [7]:
Gervais_perc_2050 = pd.Series({2050:40}) #mg/cell
Gervais_shj_2050 = pd.Series({2050:80}) #mg/cell
guess_topcon_2050 = pd.Series({2050:(95-18)}) # mg/cell 99-80 = 19, 57-40 = 17, guess further 18mg decrease
#assuming the same cell size as Zhang et al (it isn't specified in Gervais)
Gervais_perc_2050_kgpm2 = Gervais_perc_2050/1000/cell_size_m2
Gervais_shj_2050_kgpm2 = Gervais_shj_2050/1000/cell_size_m2
guess_topcon_2050_kgpm2 = guess_topcon_2050/1000/cell_size_m2
In [8]:
perc_Ag_kgpm2 = pd.concat([zhang_perc_Ag_kgpm2.loc[:2049], Gervais_perc_2050_kgpm2])
shj_Ag_kgpm2 = pd.concat([zhang_shj_Ag_kgpm2.loc[:2049], Gervais_shj_2050_kgpm2])
topcon_Ag_kgpm2 = pd.concat([zhang_topcon_Ag_kgpm2.loc[:2049], guess_topcon_2050_kgpm2])
In [9]:
#filled projections 2020 through 2050
perc_Ag_kgpm2.interpolate(inplace=True)
shj_Ag_kgpm2.interpolate(inplace=True)
topcon_Ag_kgpm2.interpolate(inplace=True)

Now lets use Zhang et al's projections of efficiency increases. These are reasonably ambitious, achieving ~25% by 2030, but PV is usually an overachiever. We will hold efficiency constant after 2030.

In [10]:
zhang_perc_modeff = lit_celltech['Zhang et al 2021 (hallam)']['PERC']['ModuleEff']
zhang_shj_modeff = lit_celltech['Zhang et al 2021 (hallam)']['SHJ']['ModuleEff']
zhang_topcon_modeff = lit_celltech['Zhang et al 2021 (hallam)']['TOPCon']['ModuleEff']
In [11]:
zhang_perc_modeff.interpolate(inplace=True)
zhang_shj_modeff.interpolate(inplace=True)
zhang_topcon_modeff.interpolate(inplace=True)
In [12]:
modeffs = pd.concat([zhang_perc_modeff,zhang_shj_modeff,zhang_topcon_modeff], axis=1)
modeffs.columns=['PERC','SHJ','TOPCon']
Aguse = pd.concat([perc_Ag_kgpm2,shj_Ag_kgpm2,topcon_Ag_kgpm2], axis=1)
Aguse.columns=['PERC','SHJ','TOPCon']
In [13]:
plt.plot(modeffs, label=modeffs.columns)
plt.legend()
plt.title('Module Efficiency over Time')
plt.ylabel('Module Efficiency [%]')
Out[13]:
Text(0, 0.5, 'Module Efficiency [%]')
In [14]:
plt.plot(Aguse, label=Aguse.columns)
plt.legend()
plt.title('Silver Use over time')
plt.ylabel('Silver Intensity [kg/m2]')
Out[14]:
Text(0, 0.5, 'Silver Intensity [kg/m2]')

One important aspect of these technologies is bifaciality. Each has a different bifaciality factor, and they are not expected to increase substantially with time (ITRPV 2022). We plan to explore monofacial and bifacial modules of these technologies (for example residential vs utility). We will use a static inventory of bifacial factors.

In [15]:
bifiFactors = {'PERC':0.7,
              'SHJ':0.9,
              'TOPCon':0.8} # ITRPV 2022, Fig. 58
In [16]:
#PV ICE currently set up to read in a csv of bifi factors, so generate files to read in 
idx_temp = Aguse.index
df_temp = pd.DataFrame(index=idx_temp, columns=['bifi'], dtype=float)
bifi_perc = df_temp.copy()
bifi_perc['bifi'] = bifiFactors['PERC']
bifi_shj = df_temp.copy()
bifi_shj['bifi'] = bifiFactors['SHJ']
bifi_topcon = df_temp.copy()
bifi_topcon['bifi'] = bifiFactors['TOPCon']
In [17]:
bifi_perc.to_csv(path_or_buf=os.path.join(testfolder,'bifi_perc.csv'), index_label='Year')
bifi_shj.to_csv(path_or_buf=os.path.join(testfolder,'bifi_shj.csv'), index_label='Year')
bifi_topcon.to_csv(path_or_buf=os.path.join(testfolder,'bifi_topcon.csv'), index_label='Year')
In [18]:
bifi_perc_path = os.path.join(testfolder,'bifi_perc.csv')
bifi_shj_path = os.path.join(testfolder,'bifi_shj.csv')
bifi_topcon_path = os.path.join(testfolder,'bifi_topcon.csv')

To create a blended scenario, we will use the ITRPV 2022 cell market share projection through 2030, and then keep it constant through 2050.

In [19]:
#insert data from Jarett here
itrpv_celltech_marketshare = pd.read_csv(os.path.join(supportMatfolder,'CellTechCompare','ITRPV_celltech_marketshare.csv'), index_col=0)
In [20]:
itrpv_celltech_marketshare.columns
#there are more cell techs here than I need - I'm not currently concerned with n-type vs p-type
#the marketshares of "n-type back contact", "n-type other", "tandem si-based" are small and outside scope of study
#remove and renormalize.
Out[20]:
Index(['p-type (Al-BSF)', 'p-type (PERC)', 'p-type (TOPCon)',
       'n-type (back contact)', 'n-type (SHJ)', 'n-type (TOPCon)',
       'n-type (other)', 'tandem (Si-based)'],
      dtype='object')
In [21]:
#subset for desired techs
celltech_marketshare_sub_raw = itrpv_celltech_marketshare.loc[2020:].filter(regex=('PERC|TOPCon|SHJ')) 
#interpolate to fill gaps
celltech_marketshare_sub_raw.interpolate(inplace=True, limit_direction='both')
#renormalize
celltech_marketshare_sub_raw['temp_sum'] = celltech_marketshare_sub_raw.iloc[:,[0,1,2,3]].sum(axis=1)
celltech_marketshare_sub_raw['scale'] = 1/celltech_marketshare_sub_raw['temp_sum'] #create scaling factor
celltech_marketshare_scaled = celltech_marketshare_sub_raw.iloc[:,[0,1,2,3]]*celltech_marketshare_sub_raw.loc[:,['scale']].values
#celltech_marketshare_scaled.sum(axis=1) # test check that everything adds to 1
In [22]:
celltech_marketshare_scaled.columns
Out[22]:
Index(['p-type (PERC)', 'p-type (TOPCon)', 'n-type (SHJ)', 'n-type (TOPCon)'], dtype='object')
In [23]:
plt.plot([],[],color='blue', label='PERC')
plt.plot([],[],color='orange', label='TOPCon (p-type)')
plt.plot([],[],color='red', label='TOPCon (n-type)')
plt.plot([],[],color='purple', label='SHJ')
#plt.plot([],[],color='red', label='Cell')

plt.stackplot(celltech_marketshare_scaled.index,
              celltech_marketshare_scaled['p-type (PERC)'],
              celltech_marketshare_scaled['p-type (TOPCon)'],
              celltech_marketshare_scaled['n-type (TOPCon)'],
              celltech_marketshare_scaled['n-type (SHJ)'],
              colors = ['blue','orange','red','purple'])

plt.title('Market Share Cell Type: Blended Projection')
plt.ylabel('Market Share [fraction]')
#plt.xlim(1995,2022)
plt.legend(loc='lower center')
plt.show()
In [24]:
celltech_marketshare_scaled['TOPCon'] = celltech_marketshare_scaled.filter(like='TOPCon').sum(axis=1)

Other Assumptions:

  • silicon wafer thickness is identical, and improvements are identical
  • glass-glass module package for bifacial using 2.5mm glass for both
  • module manufacturing energy is identical (until we get better data)
  • degradation rates between the technologies are identical (until we get better data)
  • Weibull Failure probabilities are identical between technologies (until we get better data)
  • No ciruclarity
In [25]:
#glass-glass package mass per area calculation
#ITRPV 2022 Figs 36 and 38, we are assuming that the front and back glass heave equal thickness of 2.5mm
density_glass = 2500*1000 # g/m^3 
glassperm2 = (2.5/1000)* 2 * density_glass
print('The mass per module area of glass is '+str(glassperm2)+' g/m^2')

The mass per module area of glass is 12500.0 g/m^2

Pull in deployment projection. This deployment is based on the Solar Futures report, but has been modified to be more reasonable annual deployment schedule (i.e. manufacturing ramps up). However, this does not achieve 95% RE by 2035, but it does achieve 100% RE in 2050.

In [26]:
sf_reeds_alts = pd.read_excel(os.path.join(supportMatfolder,'SF_reeds_alternates.xlsx'),index_col=0)
In [27]:
sf_reeds = sf_reeds_alts.loc[2023:2050,['MW']]
In [28]:
#try sorting the Reeds Deployment to be in ascending order
sf_reeds['MW'].values.sort() #this sorts the column values in place
In [29]:
sf_reeds['TW_cum'] = sf_reeds['MW'].cumsum()/1e6
In [30]:
fig, ax1 = plt.subplots()

ax1.plot(sf_reeds['MW'])
ax1.set_ylabel('Annual Deployments [MW]', color='blue')

ax2 = ax1.twinx()
ax2.plot(sf_reeds['TW_cum'], color='orange')
ax2.set_ylabel('Cumulative Capacity [TW]', color='orange')

plt.legend(['Cumulative Capacity'])
plt.show()
In [31]:
sf_reeds.loc[2030]
Out[31]:
MW        29613.993350
TW_cum        0.207411
Name: 2030.0, dtype: float64
In [32]:
sf_reeds.loc[2050]
Out[32]:
MW        87426.894740
TW_cum        1.523311
Name: 2050.0, dtype: float64
In [33]:
#historical 2020-2022 from Wood Mac
history = sf_reeds_alts.loc[2020:2022,['Historically annual']]
history.columns=['MW']
projection = sf_reeds[['MW']]
newdeploymentcurve = pd.concat([history,projection],axis=0)
In [ ]:

Scenario Creation¶

In [34]:
scennames = ['PERC','SHJ','TOPCon'] #add later Blend and bifi on/off
MATERIALS = ['glass','silver','silicon'] #, 'copper', 'encapsulant', 'backsheet', 'aluminum_frames'
moduleFile_m = os.path.join(baselinesfolder, 'baseline_modules_mass_US.csv')
moduleFile_e = os.path.join(baselinesfolder, 'baseline_modules_energy.csv')
In [35]:
#load in a baseline and materials for modification
import PV_ICE

sim1 = PV_ICE.Simulation(name='sim1', path=testfolder)
for scen in scennames:
    sim1.createScenario(name=scen, massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
    for mat in range (0, len(MATERIALS)):
        matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
        matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
        sim1.scenario[scen].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)

path = C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\TEMP\CellTechCompare

Modify the all one tech scenarios Scenarios:

Module level

  • trim to 2020-2050
  • no circularity
  • deployment projection
  • module eff

material level

  • glass per m2
  • silver per m2
In [36]:
#trim to 2020-2050, this trims module and materials
sim1.trim_Years(startYear=2020)

endYear not provided. Setting to end year of Module data 2050
In [37]:
#no circularity
sim1.scenMod_noCircularity()
In [38]:
#deployment projection
#NEED TO PULL IN DEPLOYMENT PROJECTION

for scen in scennames:
    sim1.scenario[scen].dataIn_m.loc[0:len(newdeploymentcurve.index-1),'new_Installed_Capacity_[MW]'] = newdeploymentcurve.values
In [39]:
#module eff
#modeffs
for scen in scennames:
    sim1.scenario[scen].dataIn_m.loc[0:len(modeffs.index-1),'mod_eff'] = modeffs[scen].values
In [40]:
#glass modify
for scen in scennames:
    sim1.scenario[scen].material['glass'].matdataIn_m['mat_massperm2'] = glassperm2
In [41]:
#silver modify
#Aguse
for scen in scennames:
    sim1.scenario[scen].material['silver'].matdataIn_m.loc[0:len(Aguse.index-1),'mat_massperm2'] = Aguse[scen].values
In [42]:
sim1.scenario['PERC'].dataIn_m.head()
Out[42]:
year new_Installed_Capacity_[MW] mod_eff mod_reliability_t50 mod_reliability_t90 mod_degradation mod_lifetime mod_MFG_eff mod_Repair mod_MerchantTail ... mod_EOL_pg2_stored mod_EOL_pg3_reMFG mod_EOL_pg4_recycled mod_EOL_reMFG_yield mod_EOL_sp_reMFG_recycle mod_EOL_pb1_landfill mod_EOL_pb2_stored mod_EOL_pb3_reMFG mod_EOL_pb4_recycled mod_EOL_collection_eff
0 2020 19914.550101 22.80 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
1 2021 24094.804465 22.97 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
2 2022 21893.147053 23.14 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
3 2023 23596.728960 23.31 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
4 2024 23596.728960 23.48 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0

5 rows × 23 columns

In [43]:
sim1.scenario['PERC'].material['silver'].matdataIn_m.head()
Out[43]:
year mat_virgin_eff mat_massperm2 mat_MFG_eff mat_MFG_scrap_Recycled mat_MFG_scrap_Recycling_eff mat_MFG_scrap_Recycled_into_HQ mat_MFG_scrap_Recycled_into_HQ_Reused4MFG mat_PG3_ReMFG_target mat_ReMFG_yield mat_PG4_Recycling_target mat_Recycling_yield mat_EOL_Recycled_into_HQ mat_EOL_RecycledHQ_Reused4MFG
0 2020 75.0 3.483815 80.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1 2021 75.0 3.342285 80.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2 2022 75.0 3.200755 80.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
3 2023 75.0 3.059225 80.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
4 2024 75.0 2.917695 80.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

Run Simulations¶

In [44]:
scennames
bifi_perc_path
bifi_shj_path 
bifi_topcon_path
bifipaths = [bifi_perc_path,bifi_shj_path,bifi_topcon_path]
bifipaths[0]
Out[44]:
'C:\\Users\\hmirletz\\Documents\\GitHub\\PV_ICE\\PV_ICE\\TEMP\\CellTechCompare\\bifi_perc.csv'
In [45]:
#option 1, install identical power
sim1.calculateFlows(scenarios='PERC', bifacialityfactors=bifi_perc_path)
sim1.calculateFlows(scenarios='SHJ', bifacialityfactors=bifi_shj_path)
sim1.calculateFlows(scenarios='TOPCon', bifacialityfactors=bifi_topcon_path)

perc_yearly, perc_cum = sim1.aggregateResults(scenarios='PERC')
shj_yearly, shj_cum = sim1.aggregateResults(scenarios='SHJ')
topcon_yearly, topcon_cum = sim1.aggregateResults(scenarios='TOPCon')

>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
In [46]:
sim1.plotMaterialComparisonAcrossScenarios(keyword='mat_Virgin_Stock', material='silver')
In [47]:
plt.plot(sim1.scenario['TOPCon'].dataIn_m['year'],sim1.scenario['PERC'].dataOut_m['Area'])
plt.plot(sim1.scenario['TOPCon'].dataIn_m['year'],sim1.scenario['SHJ'].dataOut_m['Area'])
plt.plot(sim1.scenario['TOPCon'].dataIn_m['year'],sim1.scenario['TOPCon'].dataOut_m['Area'])
plt.title('Active Area')
plt.legend(['PERC','SHJ','TOPCon'])
Out[47]:
<matplotlib.legend.Legend at 0x26725bf4f70>
In [48]:
#pulling out energy generation results
#the index location is a temp fix due to having extra lenght index, likely due to empty material energy files
perc_energyGen_annual = sim1.scenario['PERC'].dataOut_e.loc[0:30,['e_out_annual_[Wh]']]
shj_energyGen_annual = sim1.scenario['SHJ'].dataOut_e.loc[0:30,['e_out_annual_[Wh]']]
topcon_energyGen_annual = sim1.scenario['TOPCon'].dataOut_e.loc[0:30,['e_out_annual_[Wh]']]
energyGen = pd.concat([perc_energyGen_annual, shj_energyGen_annual, topcon_energyGen_annual],axis=1)
energyGen.index=idx_temp
energyGen.columns = ['PERC','SHJ','TOPCon']
In [49]:
fig, ax1 = plt.subplots()

ax1.plot(energyGen)
#ax1.set_ylabel('Annual Deployments [MW]', color='blue')

#ax2 = ax1.twinx()
#ax2.plot(sf_reeds['TW_cum'], color='orange')
#ax2.set_ylabel('Cumulative Capacity [TW]', color='orange')

plt.legend(energyGen.columns)
plt.title('Annual Energy Generation')
plt.show()
In [ ]:
In [ ]:
In [50]:
#option 2, compensation for area deployed
#styled on installation compensation
subscens = ['SHJ','TOPCon']

sim1.calculateFlows(scenarios='PERC', bifacialityfactors=bifi_perc_path)

for row in range (0,len(sim1.scenario['PERC'].dataIn_m)):
    for scenario in range (0, len(subscens)):
        scen = list(subscens)[scenario] 
        
        #perc will install the most area because lowest eff and lowest bifi, so compare to PERC
        #bigger number-smaller number = (+)
        perc_area_installed = (sim1.scenario['PERC'].dataIn_m['new_Installed_Capacity_[MW]'][row]*1e6)/(sim1.scenario['PERC'].dataIn_m['mod_eff'][row]*0.01)/1070
                                #installed cap in W / module eff that year / irradiance that year
        scen_area_installed = sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row]*1e6/(sim1.scenario[scen].dataIn_m['mod_eff'][row]*0.01)/(1000+bifiFactors[scen]*100) #this bifi factor thing only works because it is constant rn
                                #
        delta_install_area = perc_area_installed-scen_area_installed
        
        #Convert area difference into a new installs modficiation
        delta_install_power = (delta_install_area * (1000+bifiFactors[scen]*100)* (sim1.scenario[scen].dataIn_m['mod_eff'][row]*0.01))/1000000 #MW
        
        #update the new installations to compensate for area deployed
        sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs
        
    sim1.calculateFlows(bifacialityfactors=bifipaths[scenario])

>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
>>>> Calculating Material Flows <<<<

Working on Scenario:  PERC
********************
Finished Area+Power Generation Calculations

C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_20112\1226065425.py:23: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] -= delta_install_power #subtracting installs

==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  SHJ
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon
Working on Scenario:  TOPCon
********************
Finished Area+Power Generation Calculations
==> Working on Material :  glass
==> Working on Material :  silver
==> Working on Material :  silicon


>>>> Calculating Energy Flows <<<<

Working on Scenario:  PERC
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  SHJ
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
Working on Scenario:  TOPCon
********************
==> Working on Energy for Material :  glass
==> Working on Energy for Material :  silver
==> Working on Energy for Material :  silicon
In [51]:
sim1_yearly, sim1_cum = sim1.aggregateResults()
In [52]:
plt.plot(sim1.scenario['PERC'].dataIn_m['year'], sim1.scenario['PERC'].dataOut_m['Installed_Capacity_[W]'])
plt.plot(sim1.scenario['PERC'].dataIn_m['year'], sim1.scenario['SHJ'].dataOut_m['Installed_Capacity_[W]'])
plt.plot(sim1.scenario['PERC'].dataIn_m['year'], sim1.scenario['TOPCon'].dataOut_m['Installed_Capacity_[W]'])
plt.title('Installed Capacity [W]')
Out[52]:
Text(0.5, 1.0, 'Installed Capacity [W]')
In [53]:
sim1.plotMetricResults()

[]
In [54]:
sim1.plotMaterialComparisonAcrossScenarios(keyword='mat_Virgin_Stock', material='silver')
In [55]:
plt.plot(sim1.scenario['TOPCon'].dataIn_m['year'],sim1.scenario['PERC'].dataOut_m['Area'])
plt.plot(sim1.scenario['TOPCon'].dataIn_m['year'],sim1.scenario['SHJ'].dataOut_m['Area'])
plt.plot(sim1.scenario['TOPCon'].dataIn_m['year'],sim1.scenario['TOPCon'].dataOut_m['Area'])
plt.title('Active Area')
plt.legend(['PERC','SHJ','TOPCon'])
Out[55]:
<matplotlib.legend.Legend at 0x26729953a00>
In [56]:
#pulling out energy generation results
#the index location is a temp fix due to having extra lenght index, likely due to empty material energy files
perc_energyGen_annual = sim1.scenario['PERC'].dataOut_e.loc[0:30,['e_out_annual_[Wh]']]
shj_energyGen_annual = sim1.scenario['SHJ'].dataOut_e.loc[0:30,['e_out_annual_[Wh]']]
topcon_energyGen_annual = sim1.scenario['TOPCon'].dataOut_e.loc[0:30,['e_out_annual_[Wh]']]
energyGen = pd.concat([perc_energyGen_annual, shj_energyGen_annual, topcon_energyGen_annual],axis=1)
energyGen.index=idx_temp
energyGen.columns = ['PERC','SHJ','TOPCon']
In [57]:
fig, ax1 = plt.subplots()

ax1.plot(energyGen)
#ax1.set_ylabel('Annual Deployments [MW]', color='blue')

#ax2 = ax1.twinx()
#ax2.plot(sf_reeds['TW_cum'], color='orange')
#ax2.set_ylabel('Cumulative Capacity [TW]', color='orange')

plt.legend(energyGen.columns)
plt.title('Annual Energy Generation')
plt.show()

PROBLEMS:

  • Not deploying the same area - deploying the same power
  • Bifi constants --> create irradiance change --> decreasing the annual energy generation - which seems wrong
In [58]:
sim1.scenario['TOPCon'].dataIn_m
Out[58]:
year new_Installed_Capacity_[MW] mod_eff mod_reliability_t50 mod_reliability_t90 mod_degradation mod_lifetime mod_MFG_eff mod_Repair mod_MerchantTail ... mod_EOL_pg2_stored mod_EOL_pg3_reMFG mod_EOL_pg4_recycled mod_EOL_reMFG_yield mod_EOL_sp_reMFG_recycle mod_EOL_pb1_landfill mod_EOL_pb2_stored mod_EOL_pb3_reMFG mod_EOL_pb4_recycled mod_EOL_collection_eff
0 2020 19375.789522 23.20 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
1 2021 23435.522915 23.38 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
2 2022 21287.455338 23.56 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
3 2023 22936.841364 23.74 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
4 2024 22929.878765 23.92 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
5 2025 23544.439501 24.10 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
6 2026 23537.491571 24.28 33.0 38.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
7 2027 25493.649372 24.46 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
8 2028 25486.332939 24.64 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
9 2029 28735.234775 24.82 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
10 2030 28727.211554 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
11 2031 34149.465494 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
12 2032 34149.465494 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
13 2033 49505.566130 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
14 2034 49505.566130 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
15 2035 55682.437485 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
16 2036 55682.437485 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
17 2037 58141.094726 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
18 2038 58141.094726 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
19 2039 64035.351175 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
20 2040 64035.351175 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
21 2041 65031.879035 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
22 2042 65031.879035 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
23 2043 71925.806992 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
24 2044 71925.806992 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
25 2045 76201.034142 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
26 2046 76201.034142 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
27 2047 78766.538125 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
28 2048 78766.538125 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
29 2049 84808.923641 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0
30 2050 84808.923641 25.00 40.0 44.0 0.5 35.0 98.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0

31 rows × 23 columns

In [ ]:
In [ ]:
In [60]:
def aggregateEnergyResults(self, scenarios=None, materials=None):
        if scenarios is None:
        scenarios = list(self.scenario.keys())
    else:
        if isinstance(scenarios, str):
            scenarios = [scenarios]

    if materials is None:
        materials = list(self.scenario[scenarios[0]].material.keys())
    else:
        if isinstance(materials, str):
            materials = [materials]
    #categorize the energy in values into lifecycle stages
    mfg_energies = ['mod_MFG','mat_extraction','mat_MFG_virgin']
    mfg_recycle_energies_LQ = ['mat_MFGScrap_LQ'] #LQ and HQ are separate becuase LQ is only LQ
    mfg_recycle_energies_HQ = ['mat_MFGScrap_HQ'] #and HQ material is E_LQ + E_HQ
    use_energies = ['mod_Install','mod_OandM','mod_Repair']
    eol_energies = ['mat_Landfill','mod_Demount','mod_Store','mod_Resell_Certify']
    eol_remfg_energies = ['mod_ReMFG_Disassmbly','mat_EoL_ReMFG_clean']
    eol_recycle_energies_LQ = ['mod_Recycle_Crush','mat_Recycled_LQ']
    eol_recycle_energies_HQ = ['mod_Recycle_Crush','mat_Recycled_HQ']
    
    

  File <tokenize>:4
    else:
    ^
IndentationError: unindent does not match any outer indentation level
In [ ]:
#categorize the energy in values into lifecycle stages
mfg_energies = ['mod_MFG','mat_extraction','mat_MFG_virgin']
mfg_recycle_energies_LQ = ['mat_MFGScrap_LQ'] #LQ and HQ are separate becuase LQ is only LQ
mfg_recycle_energies_HQ = ['mat_MFGScrap_HQ'] #and HQ material is E_LQ + E_HQ
use_energies = ['mod_Install','mod_OandM','mod_Repair']
eol_energies = ['mat_Landfill','mod_Demount','mod_Store','mod_Resell_Certify']
eol_remfg_energies = ['mod_ReMFG_Disassmbly','mat_EoL_ReMFG_clean']
eol_recycle_energies_LQ = ['mod_Recycle_Crush','mat_Recycled_LQ']
eol_recycle_energies_HQ = ['mod_Recycle_Crush','mat_Recycled_HQ']